Paper
The paper reviews the core ideas behind genetic algorithms, genetic programming, schema theory, and the building block hypothesis.
Genetic Search
This is the final project for William Power in Temple CS5603: Artifical Intelligence. The topic of genetic search is an interesting way to solve problems. The process of evolution is mimiced to genetically represent and reproduce individual solutions to a problem. This project has two components; a paper discussing evolutionary programming, and a sample implementation of a genetic programming run.
Simulation
A simulation was created that uses a simple set of functions for behavior. Genetic programming is used to generate optimal programs controlling units. The github page has instructions on running the java program, and a detailed readme describing the implementation.